REGGIANNINI, MARCO
REGGIANNINI, MARCO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
A framework for imbalanced SAR ship classification: curriculum learning, weighted loss functions, and a novel evaluation metric
2025 Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.
A survey on SAR ship classification using deep learning
2025 Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.; Salerno, E.
Advancing automated detection of Nephrops norvegicus burrows in underwater television surveys through machine learning
2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Computer vision to support Nephrops norvegicus imagery annotation
2025 Aguzzi, J.; Aristegui, M.; Burgos, C.; Chatzievangelou, D.; Doyle, J.; González Herraiz, I.; Fifas, S.; Firmin, C.; Jónasson, J. P.; Verisimo Amor, P.; Jonsson, P.; Martinelli, M.; Medvešek, D.; Pereira, B.; Reggiannini, M.; Schubert, P.; Vacherot, J-. P.; Valeiras, J.; Vila, Y.; Weetman, A.; Wieland, K.
Guidelines for the annotation of Nephrops norvegicus UWTV videos
2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Image quality vs performance in super-resolution for SAR ship classification
2025 Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.
Machine learning approaches for automated detection of nephrops norvegicus burrows in underwater surveys
2025 Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L.
Machine learning for the evaluation of the Nephrops norvegicus Population
2025 Reggiannini, M.; Martinelli, M.; Papini, O.; Zacchetti, L.; Domenichetti, F.; Pieri, G.
SAR-to-Infrared domain adaptation for maritime surveillance with limited data
2025 Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.; Galdelli, A.
SI-Lab Annual Research Report 2024
2025 Awais, Ch Muhammad; Baiamonte, A.; Benassi, A.; Berti, A.; Bertini, G.; Buongiorno, R; Bulotta, D.; Cafiso, M.; Carboni, A.; Carloni, G.; Caudai, C.; Colantonio, S.; Conti, F.; Daoudagh, S.; Del Corso, G.; Fusco, G.; Galesi, G.; Germanese, D.; Gravili, S.; Ignesti, G.; Kuruoglu, E. E.; Lazzini, G.; Leone, G. R.; Leporini, B.; Magrini, M.; Martinelli, M.; Omrani, Ali Reza; Pachetti, E.; Papini, O.; Paradisi, P.; Pardini, F.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Salvetti, O.; Scozzari, A.; Sebastiani, L.; Straface, S.; Tampucci, M.; Tarabella, L.; Tonazzini, A.; Moroni, D.
A mesoscale events classifier for sea surface temperature data
2024 Reggiannini, M.; Papini, O.; Pieri, G.
A mesoscale events classifier for sea surface temperature data
2024 Reggiannini, M.; Papini, O.; Pieri, G.
Advancing sustainability: research initiatives at the Signals and Images Lab
2024 Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M.
Deep learning for SAR ship classification: focus on unbalanced datasets and inter-dataset generalization
2024 Awais, C. M.; Reggiannini, M.
Evaluating the Impact of fine-tuning on deep learning models for SAR ship classification
2024 Awais, Ch Muhammad; Reggiannini, M.
Future fishery and deep learning
2024 Awais, Ch Muhammad; Moroni, D.; Reggiannini, M.
Imbalanced datasets through the lens of transfer-learning
2024 Awais Ch, Muhammad.; Reggiannini, M.
Remote sensing for maritime traffic understanding
2024 Reggiannini, M; Salerno, E; Bacciu, C; D'Errico, A; Lo Duca, A; Marchetti, A; Martinelli, M; Mercurio, C; Mistretta, A; Righi, M; Tampucci, M; Di Paola, C
Testing a SAR-based ship classifier with different loss functions
2024 Awais, Ch. M.; Reggiannini, M.; Moroni, D.
Analysis of sea surface temperature maps via topological machine learning
2023 Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A framework for imbalanced SAR ship classification: curriculum learning, weighted loss functions, and a novel evaluation metric | 1-gen-2025 | Awais, Ch Muhammad; Reggiannini, M.; Moroni, D. | |
| A survey on SAR ship classification using deep learning | 1-gen-2025 | Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.; Salerno, E. | |
| Advancing automated detection of Nephrops norvegicus burrows in underwater television surveys through machine learning | 1-gen-2025 | Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L. | |
| Computer vision to support Nephrops norvegicus imagery annotation | 1-gen-2025 | Aguzzi, J.; Aristegui, M.; Burgos, C.; Chatzievangelou, D.; Doyle, J.; González Herraiz, I.; Fifas, S.; Firmin, C.; Jónasson, J. P.; Verisimo Amor, P.; Jonsson, P.; Martinelli, M.; Medvešek, D.; Pereira, B.; Reggiannini, M.; Schubert, P.; Vacherot, J-. P.; Valeiras, J.; Vila, Y.; Weetman, A.; Wieland, K. | |
| Guidelines for the annotation of Nephrops norvegicus UWTV videos | 1-gen-2025 | Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L. | |
| Image quality vs performance in super-resolution for SAR ship classification | 1-gen-2025 | Awais, Ch Muhammad; Reggiannini, M.; Moroni, D. | |
| Machine learning approaches for automated detection of nephrops norvegicus burrows in underwater surveys | 1-gen-2025 | Papini, O.; Cecapolli, E.; Domenichetti, F.; Martinelli, M.; Pieri, G.; Reggiannini, M.; Zacchetti, L. | |
| Machine learning for the evaluation of the Nephrops norvegicus Population | 1-gen-2025 | Reggiannini, M.; Martinelli, M.; Papini, O.; Zacchetti, L.; Domenichetti, F.; Pieri, G. | |
| SAR-to-Infrared domain adaptation for maritime surveillance with limited data | 1-gen-2025 | Awais, Ch Muhammad; Reggiannini, M.; Moroni, D.; Galdelli, A. | |
| SI-Lab Annual Research Report 2024 | 1-gen-2025 | Awais, Ch Muhammad; Baiamonte, A.; Benassi, A.; Berti, A.; Bertini, G.; Buongiorno, R; Bulotta, D.; Cafiso, M.; Carboni, A.; Carloni, G.; Caudai, C.; Colantonio, S.; Conti, F.; Daoudagh, S.; Del Corso, G.; Fusco, G.; Galesi, G.; Germanese, D.; Gravili, S.; Ignesti, G.; Kuruoglu, E. E.; Lazzini, G.; Leone, G. R.; Leporini, B.; Magrini, M.; Martinelli, M.; Omrani, Ali Reza; Pachetti, E.; Papini, O.; Paradisi, P.; Pardini, F.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Salvetti, O.; Scozzari, A.; Sebastiani, L.; Straface, S.; Tampucci, M.; Tarabella, L.; Tonazzini, A.; Moroni, D. | |
| A mesoscale events classifier for sea surface temperature data | 1-gen-2024 | Reggiannini, M.; Papini, O.; Pieri, G. | |
| A mesoscale events classifier for sea surface temperature data | 1-gen-2024 | Reggiannini, M.; Papini, O.; Pieri, G. | |
| Advancing sustainability: research initiatives at the Signals and Images Lab | 1-gen-2024 | Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M. | |
| Deep learning for SAR ship classification: focus on unbalanced datasets and inter-dataset generalization | 1-gen-2024 | Awais, C. M.; Reggiannini, M. | |
| Evaluating the Impact of fine-tuning on deep learning models for SAR ship classification | 1-gen-2024 | Awais, Ch Muhammad; Reggiannini, M. | |
| Future fishery and deep learning | 1-gen-2024 | Awais, Ch Muhammad; Moroni, D.; Reggiannini, M. | |
| Imbalanced datasets through the lens of transfer-learning | 1-gen-2024 | Awais Ch, Muhammad.; Reggiannini, M. | |
| Remote sensing for maritime traffic understanding | 1-gen-2024 | Reggiannini, M; Salerno, E; Bacciu, C; D'Errico, A; Lo Duca, A; Marchetti, A; Martinelli, M; Mercurio, C; Mistretta, A; Righi, M; Tampucci, M; Di Paola, C | |
| Testing a SAR-based ship classifier with different loss functions | 1-gen-2024 | Awais, Ch. M.; Reggiannini, M.; Moroni, D. | |
| Analysis of sea surface temperature maps via topological machine learning | 1-gen-2023 | Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A |